显着感知显示电源管理

Yang Xiao, K. Irick, N. Vijaykrishnan, Donghwa Shin, N. Chang
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引用次数: 6

摘要

在本文中,提出了一种生物启发技术,在图像中寻找视觉重要性最高的区域,以降低利用2D发光二极管(LED)背光系统的现代液晶显示器(lcd)的功耗。由该神经形态显著性模型生成的显著性图与自适应调光方法一起应用于背光阵列,以降低人类观察者感知到的最不感兴趣区域的亮度。对显著性调制后的图像进行相应的图像补偿,以减小畸变并保持原始图像质量。实验结果表明,将原有显示系统与显著性模型的低开销实时硬件实现集成后,平均可节省65%的功耗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Saliency aware display power management
In this paper, a bio-inspired technique of finding the regions of highest visual importance within an image is proposed for reducing power consumption in modern liquid crystal displays (LCDs) that utilize a 2D light-emitting diode (LED) backlighting system. The conspicuity map generated from this neuromorphic saliency model, along with an adaptive dimming method, is applied to the backlighting array to reduce the luminance of regions of least interest as perceived by a human viewer. Corresponding image compensation is applied to the saliency modulated image to minimize distortion and retain the original image quality. Experimental results shows average 65% power can be saved when the original display system is integrated with a low-overhead real-time hardware implementation of the saliency model.
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